Rocks vs OKRs is a choice between two distinct goal-setting philosophies: EOS Rocks are 3 to 7 binary, single-owner priorities you commit to finishing in 90 days, while OKRs are aspirational Objectives paired with measurable Key Results that aim for stretch and cross-team alignment. The core decision is whether your team needs focus and accountability (Rocks) or alignment and ambition (OKRs).
- Different goals, different cultures: Rocks codify execution discipline, while OKRs codify ambition and alignment.
- Scoring is the deepest split: Rocks are binary done or not done, OKRs use a 0.0 to 1.0 scale where 0.7 is the sweet spot.
- Size and complexity matter: Teams of 10 to 200 tend to win with Rocks, organizations above 200 with cross-functional dependencies tend to win with OKRs.
- The hybrid model works above 300 employees: Use Rocks at the team execution layer and OKRs at the strategic layer, with no goal living in both systems.
I put this guide together because most articles on the topic pick a side, and the founders and operators I talk with want a clear, neutral read so they can pick the framework that fits their company, not the one their consultant sells.
What to expect:
- What are EOS Rocks?
- What are OKRs?
- Rocks vs OKRs: side-by-side comparison
- Anatomy of a Rock vs anatomy of an OKR
- Cadence and the "90-day quarter" myth
- Scoring: binary vs spectrum
- When to use Rocks vs when to use OKRs
- Can you use both? The hybrid model
- Common mistakes when switching frameworks
- FAQ
What are EOS Rocks?
EOS Rocks are defined as the 3 to 7 most important priorities a team or individual commits to completing in a 90-day cycle within the Entrepreneurial Operating System (EOS). Gino Wickman introduced the concept in his 2007 book Traction, borrowing Stephen Covey's metaphor (First Things First, 1994) of the big rocks you must fit into the jar before sand and water fill the gaps.
Each Rock has a single accountable owner, is formatted using SMART criteria, and is scored as binary at the end of the quarter: done or not done.
Rocks live inside the broader EOS toolkit: set during Quarterly Pulsing, reviewed weekly in the Level 10 meeting, debated using IDS (Identify, Discuss, Solve), and tracked alongside the Scorecard and Accountability Chart. Without that surrounding structure, quarterly Rocks function like to-do lists.
According to EOS Worldwide, more than 280,000 companies were running on EOS as of late 2025, concentrated in the 10 to 250-employee SMB segment where focus and single-threaded ownership beat sophisticated alignment mechanics. The "fewer, bigger" philosophy is the point: if everything is a Rock, nothing is.
What are OKRs?
OKRs, short for Objectives and Key Results, are defined as a goal-setting framework that pairs a qualitative Objective (the ambition) with 3 to 5 measurable Key Results (the evidence you achieved it). Andy Grove created the model at Intel in the 1970s (High Output Management), and John Doerr later popularized it by introducing OKRs to Google in 1999 (Measure What Matters).
A standard OKR cycle runs quarterly, often nested inside annual company OKRs. Teams set 3 to 5 Objectives per cycle, grade each KR on a 0.0 to 1.0 scale, and aim for a 0.7 "sweet spot" so that aspirational OKRs stay stretch.
The OKR framework spread from Google to LinkedIn, Spotify, Microsoft, and most of the modern tech sector. The OKR Impact Report found that 83% of surveyed companies say OKRs have a positive impact on their organization.
OKRs assume weekly or biweekly check-ins, mid-cycle confidence calls, and structured retrospectives. Without that rhythm, OKRs decay into wish lists by week three of the quarter. Our guide to how to write OKRs walks through the structural rules in depth.
Rocks vs OKRs: side-by-side comparison
Both frameworks aim to translate strategy into quarterly priorities, but they encode different assumptions about ownership, ambition, and risk. The table below distills the operational differences across ten dimensions.
Dimension | EOS Rocks | OKRs |
|---|---|---|
Origin | Gino Wickman, Traction (2007), metaphor from Covey (1994) | Andy Grove at Intel (1970s), popularized by John Doerr at Google (1999) |
Cadence | 90-day cycles, set at the Quarterly Pulsing meeting | Quarterly cycles, usually nested under annual OKRs |
Number per cycle | 3 to 7 per person or team, no exceptions | 3 to 5 Objectives, each with 3 to 5 Key Results |
Structure | One SMART sentence per Rock | Objective + Key Results (qualitative aim, quantitative evidence) |
Owner model | Single accountable owner per Rock | Objective owner plus shared team accountability for KRs |
Scoring | Binary: done or not done | 0.0 to 1.0 graded scale, 0.7 considered a strong outcome |
Stretch level | Commit-and-deliver, missing a Rock is a problem | Aspirational by design, hitting 1.0 suggests the goal was too easy |
Alignment mechanism | Cascaded through the Accountability Chart and Level 10 meetings | Cascaded vertically and horizontally through visible, shared OKRs |
Best for company stage | Entrepreneurial firms, roughly 10 to 250 employees | Scaling and enterprise organizations, 200+ with cross-functional work |
Failure mode when misused | Becomes a quarterly to-do list with no execution rhythm | Becomes a tracking nightmare with too many KRs and weak grading |
Three differences carry the most weight in practice. Ownership: a Rock has one neck to wring, while an OKR distributes accountability across an Objective owner and the team driving the KRs. Scoring philosophy: binary versus spectrum changes how people set goals in the first place.
Scaffolding: Rocks assume the rest of the EOS operating system (Level 10, Scorecard, V/TO, IDS) is in place; OKRs assume an independent check-in cadence and a grading ritual. The next section makes the structural contrast concrete.
Anatomy of a Rock vs anatomy of an OKR
Take a single business goal that almost every B2B SaaS company has on its roadmap right now: improve customer activation. Here is how the same intent reads as a Rock and as an OKR.
As a Rock:
Launch redesigned activation flow by September 30. Owner: Sarah Chen, VP Product. Status at quarter end: Done or Not Done.
As an OKR:
Objective: Make new users successful in their first week. Key Result 1: Increase day-7 activation rate from 34% to 55%. Key Result 2: Reduce median time-to-first-value from 8 days to 3 days. Key Result 3: Achieve activation NPS of 45 or higher.
The Rock makes the deliverable unambiguous and assigns one person to ship it: the team will either launch the flow by September 30 or they will not. The OKR makes the outcome unambiguous and lets the team choose the path, with three Key Results forcing product, design, and marketing to align on what success means.
The Rock optimizes for shipping a thing; the OKR optimizes for moving a metric. That distinction is the whole game. For more examples broken down by function, our OKR templates library has copy-ready structures.
Cadence and the "90-day quarter" myth
Both Rocks and OKRs claim a quarterly cadence, but the calendars only look identical on the surface. The actual operating rhythms diverge in ways that shape culture as much as outcomes.
The EOS Rock cadence is locked: every 90 days the leadership team runs Quarterly Pulsing, sets 3 to 7 Rocks per person, and then reviews status weekly in the Level 10 meeting using a green-yellow-red traffic light. Issues that block a Rock get pushed to the IDS portion of the Level 10 and resolved on the spot. At day 90, every Rock is scored binary and the team resets.
OKR cadence carries more moving parts. Annual company OKRs frame the year, quarterly team OKRs cascade from them, and check-ins typically happen weekly or biweekly, with mid-quarter confidence reviews flagging KRs that are off track before grading day. Our OKR cycle guide lays out the full nesting model.
The cultural difference is not in the calendar; it is in what happens between the milestones. Rock culture says "report status, identify blockers, solve issues, repeat." OKR culture says "check confidence, debate progress, recalibrate, grade."
Scoring: binary vs spectrum
Of all the differences between Rocks and OKRs, OKR scoring versus binary Rock scoring is the deepest. It predicts whether the framework will fit your culture better than any other variable.
Rocks are binary: you either delivered the SMART commitment by the deadline or you did not. EOS recommends teams hit roughly 90% of their Rocks each quarter, which implicitly trains them to commit only to outcomes they are highly confident they can deliver.
OKRs use a 0.0 to 1.0 grading scale, where 1.0 means full achievement, 0.7 is considered strong for aspirational OKRs, and 0.3 means meaningful progress on a stretch goal you did not expect to fully hit. If your team consistently grades above 0.8, the conventional advice is that you are sandbagging and need to set bolder Objectives. Our guide to OKR scoring covers the grading rubric in detail.
The cultural consequence is huge. Binary scoring punishes ambition: nobody sets a Rock they might miss. Spectrum scoring rewards ambition: setting an OKR you cannot fully hit is the whole point, and grading at 0.7 is a win.
Teams with deep commitment cultures often hate OKR grading because 0.7 reads as "missed by 30%." Teams with experimental cultures often hate Rock scoring because binary success kills exploration. The right answer is whichever matches how your team actually thinks about risk.
When to use Rocks vs when to use OKRs
The framework choice should follow the business, not the other way around. The decision tree below maps the most common signals to the framework that tends to fit.
If your team... | Lean toward |
|---|---|
Has 10 to 150 employees and a single product line | Rocks |
Has 200+ employees with cross-functional dependencies | OKRs |
Is already running EOS (V/TO, Level 10, Scorecard) | Rocks |
Operates in an ambiguous, fast-changing market | OKRs |
Does execution-heavy work (operations, services, manufacturing) | Rocks |
Does knowledge work where the path to the outcome is unclear | OKRs |
Has a leadership team that grades and recalibrates honestly | OKRs |
Has a leadership team that commits to dates and hates missing them | Rocks |
Is remote-first or async-heavy | OKRs (transparency compounds) |
Has a strong in-person weekly meeting culture | Rocks (Level 10 thrives in-person) |
Most teams sit between the extremes. A 75-person SaaS company with cross-functional product launches and a remote-first culture might use Rocks for the leadership team and OKRs for product, while a 400-person manufacturing firm with regional plants might stay all-Rocks because the work is operational. The point is that company stage, work type, and culture all weigh in, not just headcount.
If you are not sure where you fall, the safest move is to pick one and run it cleanly for two full quarters before considering a switch. Framework discipline beats framework theory.
Can you use both? The hybrid model
EOS Worldwide's official position is that you should not run Rocks and OKRs in parallel: two competing systems create double-tracking, conflicting accountability, and scoring clashes. They are right that running both naively fails.
There is one hybrid model that does work, and many maturing EOS companies land here once they cross roughly 300 employees. The rule is simple: Rocks live at the team and execution layer, OKRs live at the strategic and company layer, and no individual goal appears in both systems.
In practice, the leadership team sets 3 to 5 annual company OKRs with quarterly Key Results that span functions. Each function then translates its share of the OKR work into 3 to 7 quarterly Rocks owned by individuals. Rocks are not the OKR; they are the focused execution work that contributes to it. Level 10 meetings review Rocks, while separate OKR check-ins review Key Result progress.
The trap is letting the two systems overlap on the same goal. If "launch activation flow" is both a Rock and a Key Result, you have double-counting and conflicting grading rules. Our EOS and OKR guide covers the integration mechanics in more depth.
Common mistakes when switching frameworks
Most failures with Rocks vs OKRs come from teams that move from one to the other (or run both) without understanding the operating model behind each.
- Copy-pasting Rocks into an OKR template. Teams switching from EOS to OKRs often write Key Results that are just Rock deliverables in disguise ("launch X by date"), losing the learning signal OKR grading provides.
- Turning every Key Result into a binary done flag. The inverse mistake: a team uncomfortable with 0.7 grading rewrites KRs as completion criteria. The OKR framework is now just Rocks with extra steps.
- Running both systems on the same goal. If "increase activation" shows up as a Rock and as a Key Result owned by the same team, you have double-counted work and created two competing definitions of done.
- Abandoning the Level 10 meeting after adopting OKRs. Teams that switch frameworks often drop the EOS rhythm and assume OKR check-ins will replace it. Keep the meeting, even if the artifact changes.
- Grading OKRs without a check-in cadence. Teams that only revisit OKRs at end-of-quarter almost always grade poorly. If you cannot commit to weekly or biweekly check-ins, you are better off with Rocks. Our breakdown of common OKR mistakes covers this in more detail.
FAQ
What is the difference between Rocks and OKRs?
Is Google still using OKRs?
What is better than OKRs?
The best framework is the one your leadership team will maintain for four consecutive quarters.
The bottom line
If you are scaling a 10 to 200 person company and want execution clarity, Rocks tend to win. The single-owner discipline, weekly Level 10 rhythm, and binary scoring reinforce a "we hit our commitments" culture that is hard to build any other way at that stage.
If you are 200+ employees with cross-functional dependencies, or you compete in an ambiguous market, OKRs tend to win. The aspirational grading, cascading alignment, and shared accountability across Key Results are designed for that complexity. Above roughly 300 employees, the hybrid model deserves serious consideration: Rocks at the execution layer, OKRs at the strategic layer, with a hard rule that no goal lives in both systems.
Whichever model your team will run cleanly for four straight quarters is the right one. Mooncamp supports both Rocks and OKRs (and the hybrid in between); if you want a tool that does not force the framework choice on you, strategy execution software is a good starting point.
